摘要
基于遗传算法对斩波变换器的数学模型中的优化目标及约束因子进行分析,将每半个工频周期开关k次的斩波变换器的输出电压表示为傅里叶级数的形式,以最优开关角度为控制量,输出电压和谐波含量最小为目标,构成多目标优化问题。利用遗传算法求解非线性规划问题的优势,将遗传算法用于斩波变换器控制参数(开关角)的优化设计。优化结果表明,采用改进的遗传算法用于斩波变换器控制参数(开关角)的优化设计,能取得令人满意的结果。
The mathematical model and the restricting factors of the mathematical model of chopper regulators are analysed. The output voltage of the AC chopper with k pulses per half cycle is written in terms of switching angles using Fourier series, and the best switching angles are identified with the dual objectives of harmonic elimination and output voltage regulation. A new approach applying the genetic algorithm to the optimization control parameters （switching angles） of chopper regulators, which has the advantage of solving nonliner programming problems, is presented. The optimization result shows that applying the genetic algorithm to the optimization design of chopper regulators can be a very satisfying method.
出处
《电气应用》
北大核心
2006年第3期90-93,共4页
Electrotechnical Application
关键词
遗传算法
斩波变换器
优化设计
genetic algorithm chopper regulators optimization design
